U.S. Joint Fire Science Program
Date of this Version
2009
Document Type
Article
Citation
Fire Science Brief, Issue 61, August 2009
Abstract
Remote sensing from space may well become one of the world’s most effective, accurate, and effi cient ways to assess fi re risk and thus manage large landscapes. The technology is evolving quickly, and researchers are busy keeping up. Some major western U.S. landscapes are just now being assessed for integrating remote sensing data with “on the ground” data that helps fi ne tune remote sensing models, and helps researchers assess which models work best. Drs. Jenny Rechel and Dar Roberts have worked together to gather Live Fuel Moisture (LFM) data from seven major western landscapes with similar mixed vegetation types. They compared their LFM data to multiple spectral indices and remote sensing models to assess which are the most accurate. They found that MODIS is overall the best remote sensing imagery to use when it comes to looking at LFM. They validated the LFM data with the satellite imagery, which confi rmed their results. They found unexpected variation in the LFM measurements both across season and within sites. That the remote sensing data confi rmed this variation, is more evidence for the power of using remote sensing imagery to assess LFM as a component of fi re risk.
Included in
Forest Biology Commons, Forest Management Commons, Other Forestry and Forest Sciences Commons, Wood Science and Pulp, Paper Technology Commons
Comments
US government work.